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@article{Clough:2015:comnet/cnu039,
author = {Clough, JR and Gollings, J and Loach, TV and Evans, TS},
doi = {comnet/cnu039},
journal = {Journal of Complex Networks},
pages = {189--203},
title = {Transitive reduction of citation networks},
url = {http://dx.doi.org/10.1093/comnet/cnu039},
volume = {3},
year = {2015}
}

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TY  - JOUR
AB  - In many complex networks, the vertices are ordered in time, and edges represent causal connections. We propose methods of analysing such directed acyclic graphs taking into account the constraints of causality and highlighting the causal structure. We illustrate our approach using citation networks formed from academic papers, patents and US Supreme Court verdicts. We show how transitive reduction (TR) reveals fundamental differences in the citation practices of different areas, how it highlights particularly interesting work, and how it can correct for the effect that the age of a document has on its citation count. Finally, we transitively reduce null models of citation networks with similar degree distributions and show the difference in degree distributions after TR to illustrate the lack of causal structure in such models.
AU  - Clough,JR
AU  - Gollings,J
AU  - Loach,TV
AU  - Evans,TS
DO  - comnet/cnu039
EP  - 203
PY  - 2015///
SN  - 2051-1310
SP  - 189
TI  - Transitive reduction of citation networks
T2  - Journal of Complex Networks
UR  - http://dx.doi.org/10.1093/comnet/cnu039
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000434604700003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://academic.oup.com/comnet/article/3/2/189/376909
UR  - http://hdl.handle.net/10044/1/12584
VL  - 3
ER  -

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